metadata

tags:
  - generated_from_trainer
model-index:
  - name: dialogsum_ds
    results: []
widget:
  - text: >-
      A: I'm so thirsty. B: Let's go get something to drink. A: That's a good
      idea. B: Do you know what you want to drink? A: I kind of want a soda. B:
      You shouldn't drink soda when you're really thirsty. A: What do you mean?
      B: When you're thirsty, you're not supposed to drink soda. A: What are you
      supposed to drink? B: Water is what's best for you. A: I guess I will get
      water. B: It's better for you.

dialogsum_ds

This model is a fine-tuned on cnn_dailymail dataset. It achieves the following results on the evaluation set:

Loss: 1.1124

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.344	0.4	500	1.1821
1.1234	0.8	1000	1.1124

Framework versions

Transformers 4.16.2
Pytorch 2.1.0+cu121
Datasets 2.0.0
Tokenizers 0.15.0